Search (485 results, page 1 of 25)

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Abstract

Considers the role and nature of current awareness services with particular reference to the impact of electronic media, the Internet and WWW on the 5 basic components of these services: databases; user interest profiles; notifications; feedback and document delivery

Date

22. 2.1999 17:50:37

Source

Online and CD-ROM review. 22(1998) no.4, S.277-279

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Abstract

Defines a virtual library as an environment where information on paper is transferred to magnetic or optical media accessible direct by means of terminals and distributed via networks. Describes such a telecommunication system, the Internet, its capabilities, services offered and principle problems. provides examples of the different INTERNET applications

Source

Argus. 22(1993) no.2, S.21-29

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Abstract

Political sentiment analysis using social media, especially Twitter, has attracted wide interest in recent years. In such research, opinions about politicians are typically divided into positive, negative, or neutral. In our research, the goal is to mine political opinion from social media at a higher resolution by assessing statements of opinion related to the personality traits of politicians; this is an angle that has not yet been considered in social media research. A second goal is to contribute a novel retrieval-based approach for tracking public perception of personality using Gough and Heilbrun's Adjective Check List (ACL) of 110 terms describing key traits. This is in contrast to the typical lexical and machine-learning approaches used in sentiment analysis. High-precision search templates developed from the ACL were run on an 18-month span of Twitter posts mentioning Obama and Romney and these retrieved more than half a million tweets. For example, the results indicated that Romney was perceived as more of an achiever and Obama was perceived as somewhat more friendly. The traits were also aggregated into 14 broad personality dimensions. For example, Obama rated far higher than Romney on the Moderation dimension and lower on the Machiavellianism dimension. The temporal variability of such perceptions was explored.

Date

22. 1.2016 11:25:47

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Abstract

Compares and contrasts the essential differences between traditional and digital information media, reexamines the role of OPACs, refines the definition of library catalogues, and advocates the addition of Internet resources within the OPAC. Describes the building of the Alex Catalog, as part of the Alcuin Project at North Carolina State University, a catalogue of Internet resources in the format of MARC format records. Concludes with a process for integrating the further inclusion of other Internet resources into OPACs as well as some of the obstacles such a process manifests

Series

Cataloging and classification quarterly; vol.22, nos.3/4

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Pages

S.17-22

Source

Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia: Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000, Fachhochschule Köln. Hrsg.: K.-D. Schmitz

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Abstract

Recent work by Evans, Cordova, and Sipole (2014) reveals that in the two months leading up to the 2012 election, female House candidates used the social media site Twitter more often than male candidates. Not only did female candidates tweet more often, but they also spent more time attacking their opponents and discussing important issues in American politics. In this article, we examine whether the female winners of those races acted differently than the male winners in the 2012 election, and whether they differed in their tweeting-style during two months in the summer of 2013. Using a hand-coded content analysis of every tweet from each member in the U.S. House of Representatives in June and July of 2013, we show that women differ from their male colleagues in their frequency and type of tweeting, and note some key differences between the period during the election and the period after. This article suggests that context greatly affects representatives' Twitter-style.

Date

22. 1.2016 11:51:19

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Abstract

Presents an overview of the European Community policy initiatives in telecommunications and broadcasting. Community policy has not yet fully addressed the convergence of media that is at the heart of the information society. Identifies a number of issues that need to be addressed: the removal of unnecessary regulatory barriers, universal and public service, line of business restrictions and pluralism of the media. The information society will require a policy framework that encompasses all media and aims to be free from inconsistencies between policies in different media sectors. Since the convergence of media will ultimately affect all aspects of life, the framework should not be limited to the economic dimension alone, but must take into account the whole spectrum of societal and cultural values

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Abstract

The success or failure of social media is highly dependent on the active participation of its users. In order to examine the influential factors that inspire dynamic and eager participation, this study investigates what motivates social media users to share their personal experiences, information, and social support with anonymous others. A variety of information-sharing activities in social media, including creating postings, photos, and videos in 5 different types of social media: Facebook, Twitter, Delicious, YouTube, and Flickr, were observed. Ten factors: enjoyment, self-efficacy, learning, personal gain, altruism, empathy, social engagement, community interest, reciprocity, and reputation, were tested to identify the motivations of social media users based on reviews of major motivation theories and models. Findings from this study indicate that all of the 10 motivations are influential in encouraging users' information sharing to some degree and strongly correlate with one another. At the same time, motivations differ across the 5 types of social media, given that they deliver different information content and serve different purposes. Understanding such differences in motivations could benefit social media developers and those organizations or institutes that would like to use social media to facilitate communication among their community members; appropriate types of social media could be chosen that would fit their own purposes and they could develop strategies that would encourage their members to contribute to their communities through social media.

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Abstract

Proposes an approach to defining units of analysis for Internet communication research. Defines the term Internet computer mediated communication, identifying the characteristics of Internet communication. Develops a set of definitions: media space, media class, media object and media instance, as units of analysis for Internet communication studies. Illustrates these units of analysis with some examples

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Abstract

A novel idea of media agent is briefly presented, which can automatically build a personalized semantic index of Web media objects for each particular user. Because the Web is a rich source of multimedia data and the text content on the Web pages is usually semantically related to those media objects on the same pages, the media agent can automatically collect the URLs and related text, and then build the index of the multimedia data, on behalf of the user whenever and wherever she accesses these multimedia data or their container Web pages. Moreover, the media agent can also use an off-line crawler to build the index for those multimedia objects that are relevant to the user's favorites but have not accessed by the user yet. When the user wants to find these multimedia data once again, the semantic index facilitates text-based search for her.

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Abstract

Purpose - The purpose of this paper is to engage in a systematic analysis of academic research that relies on the collection and use of Twitter data, creating topology of Twitter research that details the disciplines and methods of analysis, amount of tweets and users under analysis, the methods used to collect Twitter data, and accounts of ethical considerations related to these projects. Design/methodology/approach - Content analysis of 382 academic publications from 2006 to 2012 that used Twitter as their primary platform for data collection and analysis. Findings - The analysis of over 380 scholarly publications utilizing Twitter data reveals noteworthy trends related to the growth of Twitter-based research overall, the disciplines engaged in such research, the methods of acquiring Twitter data for analysis, and emerging ethical considerations of such research. Research limitations/implications - The findings provide a benchmark analysis that must be updated with the continued growth of Twitter-based research. Originality/value - The research is the first full-text systematic analysis of Twitter-based research projects, focussing on the growth in discipline and methods as well as its ethical implications. It is of value for the broader research community currently engaged in social media-based research, and will prompt reflexive evaluation of what research is occurring, how it is occurring, what is being done with Twitter data, and how researchers are addressing the ethics of Twitter-based research.

Date

20. 1.2015 18:30:22

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Abstract

User-generated content is one of the most interesting phenomena of current published media, as users are now able not only to consume, but also to produce content in a much faster and easier manner. However, such freedom also carries concerns about content quality. In this work, we propose an automatic framework to assess the quality of collaboratively generated content. Quality is addressed as a multidimensional concept, modeled as a combination of independent assessments, each regarding different quality dimensions. Accordingly, we adopt a machine-learning (ML)-based multiview approach to assess content quality. We perform a thorough analysis of our framework on two different domains: Questions and Answer Forums and Collaborative Encyclopedias. This allowed us to better understand when and how the proposed multiview approach is able to provide accurate quality assessments. Our main contributions are: (a) a general ML multiview framework that takes advantage of different views of quality indicators; (b) the improvement (up to 30%) in quality assessment over the best state-of-the-art baseline methods; (c) a thorough feature and view analysis regarding impact, informativeness, and correlation, based on two distinct domains.

Date

16.11.2017 13:04:22

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Abstract

Social media has become integrated into the fabric of the scholarly communication system in fundamental ways, principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics-that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of 2 main parts: the first examines the use of social media in academia, reviewing the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system.

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Source

Journal of educational media and library sciences. 37(1999) no.1, S.1-16

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Source

Trends für Großstadtbibliotheken - Zukunft wissenschaftlicher Bibliotheken - Multi-Media und Internet. Hrs.: Ekz

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Source

Trends für Großstadtbibliotheken - Zukunft wissenschaftlicher Bibliotheken - Multi-Media und Internet. Hrs.: Ekz

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Trends für Großstadtbibliotheken - Zukunft wissenschaftlicher Bibliotheken - Multi-Media und Internet. Hrs.: Ekz

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Abstract

Develops frameworks to help Internet media designers address end user information presentation preferences by advancing structures for assessing metadata design variables. Design variables are then linked to user cognitive styles. An underlying theme is that artificial intelligence methodologies may be used to help automate the Internet media design process and to provide personalized and customized experiences. User preferences concerning knowledge acquisition in online experiences provide the basis for discussions of cognitive analysis, and are extended into structural implications for media design and interaction

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Abstract

Examines the problem of a compelling online news delivery system by focusing on how mass media audiences and online users differ in their assessment of news. It employed a 2-wave USA national survey to study the perception of interactivity in mass media and computer networks and its relationship to the assessment of news. The 1st wave looked a national probability sample, ahile the 2nd targeted viewers of NBC Nightly News who responded to the show via e-mail. NBC respondents rated mass media to be less interactive, while they rated computer communication more interactive than the national sample. The NBC group also rated mass media news less important and of lower quality than did the national sample. Interactivity ratings did not predict mass media credibility assessment for either group. However, respondents who defined interactivity as cybernetic feedback or who contacted NBC by e-mail rated computer communication to be more credible than thos who did not

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Abstract

The spread of misinformation on social media has become a major societal issue during recent years. In this work, we used the ongoing COVID-19 pandemic as a case study to systematically investigate factors associated with the spread of multi-topic misinformation related to one event on social media based on the heuristic-systematic model. Among factors related to systematic processing of information, we discovered that the topics of a misinformation story matter, with conspiracy theories being the most likely to be retweeted. As for factors related to heuristic processing of information, such as when citizens look up to their leaders during such a crisis, our results demonstrated that behaviors of a political leader, former US President Donald J. Trump, may have nudged people's sharing of COVID-19 misinformation. Outcomes of this study help social media platform and users better understand and prevent the spread of misinformation on social media.